For location-aware apps like property listings, Back4app offers a managed database with geo-queries, REST and GraphQL APIs, auth, and Live Queries. Build a real estate app without writing or hosting server code—13+ SDKs included.

Template

Real Estate Listing Backend Template
Schema, Geo-Queries & AI Guide

Q: Why use Back4app for a real estate listing app?

Back4app is a strong choice for real estate listing apps: you get a production-ready schema with geo-queries for map search, lead capture, and saved listings (favorites), plus an AI Agent that can generate and deploy the app. It fits teams that want a Parse-compatible BaaS without running their own server.

Q: What does the real estate listing template include?

The template provides a production-ready backend schema on Back4app: users, properties, leads, and favorites (see ER diagram), plus geo-queries, REST and GraphQL APIs, an API playground, and an AI Agent prompt. You can connect any of the supported frontends and deploy in minutes.

Q: How is data access controlled?

Property can have public read for list/detail; create/update/delete restricted to authenticated users. Lead creation can be public; Favorite is per-user. Use ACLs and CLPs as needed.

Q: Can I extend the schema after deployment?

Yes. Back4app uses a flexible schema. Add fields to Property, Lead, or Favorite from the dashboard or API without migrations.

Q: How do I run a geo query?

Use where with location $nearSphere and a GeoPoint (latitude, longitude). Add limit to cap results. Results are ordered by distance.

A production-ready real estate listing backend on Back4app: listings, leads, favorites, geo-queries, ER diagram, data dictionary, JSON schema, API playground, and a one-click AI Agent prompt to deploy in minutes.

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Key Takeaways

On this page you get a production-ready real estate schema, a one-click AI prompt, and step-by-step code for your chosen technology — so you can ship a property listing app without building the backend.

Deploy in minutes — Paste the AI Agent prompt and get a running app with property list, geo search, lead capture, and favorites.
Geo-queries out of the box — Property.location (GeoPoint) supports $nearSphere for "properties near me" and map-based search.
Your stack-native SDK — Typed objects, async/await, optional offline pinning, and Live Queries for new listings.
REST + GraphQL — Both APIs auto-generated; filter by status, beds, price; sort by distance or date.
Four classes — _User (built-in), Property, Lead (inquiries), Favorite (saved listings).

What Is the Real Estate Listing Backend Template?

Back4app is a backend-as-a-service (BaaS) ideal for real estate listing apps: managed backend, auth, geo-queries, and SDKs for 13+ technologies. The Real Estate Listing Backend Template is a pre-built schema on Back4app with auth (User), listings (Property), inquiries (Lead), and saved properties (Favorite). You get geo-queries, lead capture, and a one-click AI Agent prompt — connect your frontend and ship a working property listing app in minutes.

Best for:

Property listing appsReal estate portalsLead captureMap-based searchMVP launchesTeams choosing a BaaS for real estate

Overview

A real estate listing app needs property CRUD, geo-queries for map search, lead capture (inquiries per property), and user favorites. Under the hood it needs auth, Property with location (GeoPoint), Lead linked to Property, and Favorite linking User to Property.

The schema (see ER diagram below) covers users, properties, leads, and favorites. With the Back4app SDK for your chosen technology, you can query properties (including geo), create leads, and manage favorites — without writing a custom API layer.

Core Real Estate Listing Features

This backend template includes property listings, geo-queries, lead capture, and favorites. Choose your technology below for step-by-step integration.

Property listings

Property with title, price, address, location (GeoPoint), beds, baths, status. List and filter by status, price, or geo.

Lead capture

Lead links name, email, phone, message to a Property. Capture inquiries from listing detail pages.

Saved properties

Favorite links user and property. List favorites for the current user; add or remove from listing detail.

Geo-queries

Property.location (GeoPoint) supports $nearSphere. Find properties near a point; sort by distance.

User & permissions

Built-in _User; restrict Property create/update to agents; public read for list and detail.

Why Build Your Real Estate Listing Backend with Back4app?

Back4app gives you a ready backend with geo-queries and lead capture so you can build your property listing app without writing REST glue or managing auth yourself.

•Geo-queries & SDK: Property.location (GeoPoint) supports $nearSphere; the SDK keeps Property and Lead type-safe.
•Lead capture & favorites: Lead class stores inquiries per property; Favorite links user and property for saved listings.
•Live Queries: Subscribe to Property or Favorite changes so the UI updates in real time.

Same schema and APIs for every stack — switch clients later without changing the backend.

Core Benefits

A production-ready real estate backend so you can ship faster and focus on your app.

Ship Faster, No Backend Code

REST & GraphQL APIs and a ready schema — connect your app and go.

Geo-Queries Out of the Box

Find properties near a point with $nearSphere; sort by distance.

Lead Capture

Lead class stores name, email, phone, message, and property pointer.

Built-In Auth

User sign-up, login, and session handling; restrict favorites and listing management.

Works Offline

Local pinning keeps properties and favorites available offline and syncs when you reconnect.

Deploy in Minutes

Use the AI Agent to create and deploy your real estate app from this template.

Ready to try it?

Let the Back4app AI Agent create your real estate listing backend, connect the your chosen technology frontend, and deploy — all from a single prompt.

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Technical Stack

Everything powering this real estate listing template at a glance.

Frontend

13+ Technologies

Backend

Back4app

Database

MongoDB

Auth

Auth & Access Control

APIs

REST & GraphQL

Deployment

AI Agent / Dashboard

ER Diagram

Entity-Relationship diagram for the real estate listing data model.

ER Diagram

View diagram source

Mermaid

erDiagram
    _User {
        String objectId PK
        String username
        String email
        String password
        Date createdAt
        Date updatedAt
    }

    Property {
        String objectId PK
        String title
        String description
        Number price
        String address
        GeoPoint location
        Number beds
        Number baths
        Number area
        String propertyType
        String status
        Pointer listedBy FK
        Date createdAt
        Date updatedAt
    }

    Lead {
        String objectId PK
        String name
        String email
        String phone
        String message
        Pointer property FK
        Date createdAt
        Date updatedAt
    }

    Favorite {
        String objectId PK
        Pointer user FK
        Pointer property FK
        Date createdAt
        Date updatedAt
    }

    _User ||--o{ Property : "listedBy"
    _User ||--o{ Favorite : "user"
    Property ||--o{ Lead : "property"
    Property ||--o{ Favorite : "property"

Integration Flow

Auth-to-CRUD sequence: how your app talks to Back4app — login, query properties (with geo), create lead, manage favorites.

ER Diagram

View diagram source

Mermaid

sequenceDiagram
  participant User
  participant App as Your App
  participant Back4app as Back4app Cloud

  User->>App: Login
  App->>Back4app: POST /login (username, password)
  Back4app-->>App: Session token
  App-->>User: Logged in

  User->>App: Load properties (and optional geo query)
  App->>Back4app: GET /classes/Property
  Back4app-->>App: List of Property objects
  App-->>User: Show listings

  User->>App: Submit lead or add favorite
  App->>Back4app: POST /classes/Lead or POST /classes/Favorite
  Back4app-->>App: Lead or Favorite (objectId)
  App-->>User: Updated list

Data Dictionary

Complete field reference for every class in the schema.

Field	Type	Description	Required
objectId	String	Auto-generated unique identifier	auto
title	String	Listing title
description	String	Full listing description	—
price	Number	Asking or rental price	—
address	String	Street address	—
location	GeoPoint	Lat/lng for geo-queries and map display	—
beds	Number	Number of bedrooms	—
baths	Number	Number of bathrooms	—
area	Number	Area in sq ft or sq m	—
propertyType	String	e.g. house, apartment, land	—
status	String	e.g. for_sale, for_rent, sold	—
listedBy	Pointer<_User>	User who created the listing	—
createdAt	Date	Auto-generated creation timestamp	auto
updatedAt	Date	Auto-generated last-update timestamp	auto

14 fields in Property

Security & Permissions

How ACLs and class-level permissions protect data in this real estate schema.

Property & public read

Allow public read for Property list and detail; restrict create/update/delete to authenticated users (e.g. listing agents).

Class-Level Permissions

CLPs restrict create/read/update/delete per class. Lead creation can be public; Favorite and Property writes typically require auth.

Pointer-based relations

listedBy links Property to _User; Favorite links user and property. Use Cloud Code to enforce ownership where needed.

Schema (JSON)

Raw JSON schema definition — copy and use in your Back4app app or import via the API.

JSON

{
  "classes": [
    {
      "className": "Property",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "title": {
          "type": "String",
          "required": true
        },
        "description": {
          "type": "String",
          "required": false
        },
        "price": {
          "type": "Number",
          "required": false
        },
        "address": {
          "type": "String",
          "required": false
        },
        "location": {
          "type": "GeoPoint",
          "required": false
        },
        "beds": {
          "type": "Number",
          "required": false
        },
        "baths": {
          "type": "Number",
          "required": false
        },
        "area": {
          "type": "Number",
          "required": false
        },
        "propertyType": {
          "type": "String",
          "required": false
        },
        "status": {
          "type": "String",
          "required": false
        },
        "listedBy": {
          "type": "Pointer",
          "targetClass": "_User",
          "required": false
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "Lead",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "name": {
          "type": "String",
          "required": true
        },
        "email": {
          "type": "String",
          "required": true
        },
        "phone": {
          "type": "String",
          "required": false
        },
        "message": {
          "type": "String",
          "required": false
        },
        "property": {
          "type": "Pointer",
          "targetClass": "Property",
          "required": false
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "Favorite",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "user": {
          "type": "Pointer",
          "targetClass": "_User",
          "required": false
        },
        "property": {
          "type": "Pointer",
          "targetClass": "Property",
          "required": false
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    },
    {
      "className": "_User",
      "fields": {
        "objectId": {
          "type": "String",
          "required": false
        },
        "username": {
          "type": "String",
          "required": true
        },
        "email": {
          "type": "String",
          "required": true
        },
        "password": {
          "type": "String",
          "required": true
        },
        "createdAt": {
          "type": "Date",
          "required": false
        },
        "updatedAt": {
          "type": "Date",
          "required": false
        }
      }
    }
  ]
}

Build with AI Agent

Use the Back4app AI Agent to build a real real estate listing app from this template: it will create the frontend, the backend (this schema, auth, geo-queries, and APIs), and deploy it — no manual setup.

Back4app AI Agent

Ready to build

Create a real estate listing app on Back4app with this exact schema and behavior.

Schema:
1. _User (use Back4app built-in): username (String, required), email (String, required), password (String, required); objectId, createdAt, updatedAt (system).
2. Property: title (String, required), description (String), price (Number), address (String), location (GeoPoint), beds (Number), baths (Number), area (Number), propertyType (String), status (String; e.g. for_sale, for_rent, sold), listedBy (Pointer to _User); objectId, createdAt, updatedAt (system).
3. Lead: name (String, required), email (String, required), phone (String), message (String), property (Pointer to Property); objectId, createdAt, updatedAt (system).
4. Favorite: user (Pointer to _User), property (Pointer to Property); objectId, createdAt, updatedAt (system).

Security:
- Set ACLs so only authenticated users can create/update/delete Property and Favorite; allow public read for Property list and detail. Lead creation can be public or require auth.
- Use Class-Level Permissions so only authenticated users can manage Favorite; Property and Lead as needed for your use case.

Auth:
- Sign-up (username, email, password) and login; support logout/session.

Behavior:
- Full CRUD for Property (for listing agents) and Favorite.
- Create Lead (inquiry) linked to a Property; list leads by property or by current user's listings.
- Geo query: find properties near a point using location (GeoPoint) with $nearSphere and limit.
- Filter properties by status, beds, baths, price range, propertyType.
- Optional: real-time Live Queries for new listings or favorite changes.

Deliver:
- Create the Back4app app with the schema above, ACLs, and any Cloud Code needed.
- Generate the frontend and connect it to this backend; deploy so the app is runnable end-to-end.

Press the button below to open the Agent with this template's prompt pre-filled.

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